No data exist concerning a possible association between CHADS(2) or CHA(2)DS(2)-VASc scores and atrial fibrillation (AF). In this prospective observational study, we tested the hypothesis whether thromboembolic risk scores predict AF. We investigated 3549 subjects, 1829 men and 1720 women, aged 60.7 +/- A 10.6 years, without baseline AF. Patients with thyroid disorders were excluded. CHADS(2) and CHA(2)DS(2)-VASc scores were evaluated as categorical variables. To test the effect of some clinical confounders on incident AF, we constructed different models including clinical and laboratory parameters. During follow-up (53.3 +/- A 18.1 months), 546 subjects developed AF (4.5 events/100 patient-years). Progressors to AF are older, have a higher body mass index (BMI), blood pressure, LDL-cholesterol, and glucose. Hypertension, metabolic syndrome, diabetes and carotid wall thickening were more common among AF cases than among control subjects. In the final Cox-regression model, variables that remained significantly associated with incident AF were BMI (HR = 1.022, 95 % CI = 1.008-1.037), LDL-cholesterol (HR = 1.032, 95 % CI = 1.008-1.056), CHA(2)DS(2)-VASc score (HR = 1.914, 95 % CI = 1.439-2.546), and CHADS(2) score (HR = 2.077, 95 % CI = 1.712-2.521). In conclusion, CHADS(2) and CHA(2)DS(2)-VASc scores are independent predictors of AF.

CHADS(2) and CHA(2)DS(2)-VASc scores are independently associated with incident atrial fibrillation: the Catanzaro Atrial Fibrillation Project

Tripepi Giovanni;
2015

Abstract

No data exist concerning a possible association between CHADS(2) or CHA(2)DS(2)-VASc scores and atrial fibrillation (AF). In this prospective observational study, we tested the hypothesis whether thromboembolic risk scores predict AF. We investigated 3549 subjects, 1829 men and 1720 women, aged 60.7 +/- A 10.6 years, without baseline AF. Patients with thyroid disorders were excluded. CHADS(2) and CHA(2)DS(2)-VASc scores were evaluated as categorical variables. To test the effect of some clinical confounders on incident AF, we constructed different models including clinical and laboratory parameters. During follow-up (53.3 +/- A 18.1 months), 546 subjects developed AF (4.5 events/100 patient-years). Progressors to AF are older, have a higher body mass index (BMI), blood pressure, LDL-cholesterol, and glucose. Hypertension, metabolic syndrome, diabetes and carotid wall thickening were more common among AF cases than among control subjects. In the final Cox-regression model, variables that remained significantly associated with incident AF were BMI (HR = 1.022, 95 % CI = 1.008-1.037), LDL-cholesterol (HR = 1.032, 95 % CI = 1.008-1.056), CHA(2)DS(2)-VASc score (HR = 1.914, 95 % CI = 1.439-2.546), and CHADS(2) score (HR = 2.077, 95 % CI = 1.712-2.521). In conclusion, CHADS(2) and CHA(2)DS(2)-VASc scores are independent predictors of AF.
2015
Istituto di Fisiologia Clinica - IFC
Atrial fibrillation
CHADS(2) score
CHA(2)DS(2)-VASc score
Cardiovascular risk factors
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/313211
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